Number of the records: 1
New Fundamental technologies in Data Mining
- 1.
SYSNO ASEP 0358973 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Classifiers Based on Inverted Distances. Chapter 19 Author(s) Jiřina, Marcel (UIVT-O) SAI, RID
Jiřina jr., M. (CZ)Source Title New Fundamental technologies in Data Mining. - Rijeka : InTech, 2011 / Funatsu K. ; Hasegawa K. - ISBN 978-953-307-547-1 Pages s. 369-386 Number of pages 18 s. Number of pages 584 Language eng - English Country HR - Croatia Keywords classification ; neighbor distances ; correlation dimension ; Zipfian distribution Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) Annotation First, we provide a shot overview of the basic idea of the IINC (Inverted Indexes of Neighbors Classifier) and its features and show a simple demonstative example of a pragmatic approach to a simple classification task. Second, we give a deeper mathematical insight into the method. Finally, we will demonstrate the power of the IINC on data sets from well-known ICU ML repository of real-life tasks. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2012 Electronic address http://www.intechopen.com/books/new-fundamental-technologies-in-data-mining/classifiers-based-on-inverted-distances
Number of the records: 1